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Recently I have been working on PostgreSQL benchmarks for its data checksums feature. This incredibly valuable option to initdb -- introduced in version 9.3 in 2013 -- allows quick detection of corrupted disk data pages. It provides the glorious opportunity to simply failover to a standby before your data becomes corrupted, rather than endure the horror of discovering the corruption afterward and attempting to recover.
But people care as much …
The fifth and last in a series of blogs covering common mistakes in Database and Application designs for financial calculations.
There are many methods of rounding
The built-in method of rounding in PostgreSQL is Half Round Up. Unfortunately, it is not the best approach, …
The fourth in a series of blogs covering common mistakes in Database and Application designs for financial calculations.
The database driver or application framework created errors are probably the hardest to find, as we are the consumer not the writer of the tool, with many assuming the casting is correct. However, we must review the documentation or the library’s code to know how …
The third in a series of blogs covering common mistakes in Database and Application designs for financial calculations.
When working with float data types, order of operations will affect the ending value.
Python3:
justin@Debian10:~$ python3
Python 3.7.3 (default, Jul 25 2020, 13:03:44)
>>> (1234.567 * 3.333333) + (1.234567 * 3.333333)
4119.338,144,732,812
>>> (1234.567 + 1.234567 ) * 3.333333 …
The second in a series of blogs covering common mistakes in Database and Application designs for financial calculations.
This is probably the most common mistake in database design that I observe. It is understood to use exact data types (such as numeric) and the precision must be fixed, but for whatever reason the decision is made that it’s OK for one table to use numeric(12,4),a second table …
A series on the use of data types to insure accurate financial calculations with your application.
Over my multi-decade career, I have often noticed the problematic use of real, floating, double, and fixed precision types to store and calculate financials. Most believe the application only needs two digits to the right of the decimal point for financial data. The use of only two digits assumes that many financial calculations do …
When you have been around as long as Command Prompt, you are bound to forget blogs you wrote as well as the fact that those blogs are likely exceedingly outdated. I was recently doing a review of the Command Prompt Dead Sea Scrolls and have come across two that we have updated to be accurate for the modern times of PostgreSQL.
In the 2017 article we referenced to /r/postgresql which at the time had 5,100 members. It now has 25.5k. In the same time period as pgsql-general, it generated 175 messages among community members (20 posts, 155 responses). Similarly, we mentioned the Slack channel which at the time had 1100+ members. It now hosts 18.3k subscribers with similar activity of the subreddit. The People, Postgres, Data Discord, which did not exist in 2017, has 3,579 members and is quite active over its 28 channels. The listed collaboration venues don’t take into account the thousands of members among the international or associated (Brazil, Russia, TimescaleDB, Yugabyte, NeonDB, etc…) Postgres communities.
On Thursday and Friday of this week we will be enjoying 90 degree weather and sunshine in San Jose, California. It will be quite the change from the dark and damp of NW Washington. This is also the first time I will have been on an airplane in almost 3 years. Yes, it really has been that long since the world decided to begin a pandemic. That said, I am …
I had an opportunity to sit down with Mark Porter, the CTO of MongoDB to discuss PostgreSQL, Aurora PostgreSQL and MongoDB. Mark is one of the creators of Aurora PostgreSQL and now enjoys a leadership role at MongoDB. There are two episodes:
It is important to reach out to leaders in communities to understand how they succeed. Mark has over 30 years of experience in …